Ann Biehl

3.5k citations
8 papers · 1.0k · 1 hit paper · h-index 6

Impact in

    • Rheumatoid Arthritis Research and Therapies
    • Systemic Lupus Erythematosus Research
    • Urticaria and Related Conditions
  • Immunology top 10%
    • Psoriasis: Treatment and Pathogenesis

Papers in

    • Systemic Lupus Erythematosus Research 4
    • Rheumatoid Arthritis Research and Therapies 3
    • Peripheral Neuropathies and Disorders 2

Ann Biehl

8 papers receiving 995 citations

Ann Biehl's Hit Papers

JAK–STAT Signaling as a Target for Inflammatory and Autoimmune Diseases: Current and Future Prospects 2017 · 918 citations
9180+3+6Years since publication250500750

Peers

Ann Biehl
Comparison fields: 5 of 87
  • Rheumatology 210
  • Immunology 299
  • Oncology 246
  • Pharmacology 73
  • Genetics 70
Replace Shubhasree Banerjee with:
Shubhasree Banerjee United States
Arezoo Gowhari Shabgah Iran
Lianbo Xiao China
Hye‐Jwa Oh South Korea
Jun‐Geol Ryu South Korea
Baihua Shen China
Maohua Shi China
Leo Albert United States
Αthanasios Mavropoulos Greece
Hejian Zou China
Ann Biehl relative to Shubhasree Banerjee United States Shubhasree Banerjee's profile →
Citations per field
00.5×1.5×
Shubhasree Banerjee · 1×
Citations per year

Countries citing papers authored by Ann Biehl

Since Specialization
Citations

This map shows the geographic impact of Ann Biehl's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ann Biehl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ann Biehl more than expected).

Fields of papers citing papers by Ann Biehl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ann Biehl. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ann Biehl. The network helps show where Ann Biehl may publish in the future.

Co-authors

The 25 scholars most cited alongside Ann Biehl, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ann Biehl Line = papers co-authored together Ann Biehl links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
JAK–STAT Signaling as a Target for Inflammatory and Autoimmune Diseases: Current and Future Prospects
Hit paper breakdown →
2017918
2 201851
3 201810
4 20209
5 20177
6 20225
7 20161
8 20151

About Ann Biehl

Ann Biehl is a scholar working on Rheumatology, Neurology, Genetics, Oncology and Emergency Medical Services, having authored 8 papers that have together received 1.0k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (4 papers), Rheumatoid Arthritis Research and Therapies (3 papers), Peripheral Neuropathies and Disorders (2 papers), Chronic Lymphocytic Leukemia Research (1 paper), Patient Safety and Medication Errors (1 paper) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Rheumatology (210 citations), Immunology (299 citations), Oncology (246 citations), Pharmacology (73 citations) and Genetics (70 citations). Ann Biehl has collaborated with scholars based in United States. Frequent co-authors include Sarfaraz Hasni, Shubhasree Banerjee, Massimo Gadina, Daniella M. Schwartz, James D. Katz, Zerai Manna, Philip M. Carlucci, Yenealem Temesgen‐Oyelakin, Michael A. Davis and Meryl Waldman. Their work appears in journals such as Clinics in Geriatric Medicine, Arthritis & Rheumatology, Rheumatic Disease Clinics of North America, Liver International and Drugs.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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